安装了错误的scikit-learn版本？

Question

I encountered the same

ValueError: scoring must return a number, got [...] (<class 'numpy.core.memmap.memmap'>) instead.

error as discussed in Q34857870 .

Based on answers to this question, and my own research, I believe this issue to be fixed in scikit-learn version 0.17.1, though I'm still encountering it. Then I noticed something strange.

conda lists the right version.

$ conda list scikit-learn packages in environment: scikit-learn 0.17.1 np111py27_0

My Jupyter notebook gives the right version:

%load_ext watermark %watermark scikit-learn scikit-learn 0.17.1

But I get a different version when I check the version within my code:

import sklearn print(sklearn.__version__) 0.17

I wouldn't think anything of this, except I'm still seeing a bug in 0.17 that should have been fixed in 0.17.1, so I'm wondering whether I'm using the wrong version somehow.

I'm wondering if it is somehow connected to Q30666685 .

Answer 1

You probably have multiple versions of scikit learn installed. You can see where it is installed by using

print(sklearn.__file__)

and then simply delete that. In case if you are still having version troubles work within a virtual environment.